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Toronto West Development Corporation TWDC purchased land not far from the intersection of Bloor Street West and Kipling Avenue. The top managers of TWDC ,

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Toronto West Development Corporation TWDC purchased land not far from the intersection of Bloor Street West and Kipling Avenue. The top managers of TWDC , however, have different opinions on how this land can be used. Eventually, TWDC commissioned preliminary architectural drawings for three different projects: High-Rise Condo; Mid-Rise Apartments; Retirement Homes. Also, it is recognized that the financial success of the project depends on the situation on the real estate market, Strong Demand or Weak Demand.The TWDC expectations are summarized in the following table (payoffs are in$$millions).

Decision Alternatives

States of Nature

Strong Demand

Weak Demand

High-Rise Condo

10

8

Mid-Rise Apartments

15

5

Retirement Homes

25

-10

Originally, TWDC specialists counted on 0.64 probability of strong demand.

Simple Decision Tree Part

(a) Suppose that you need to construct a simple decision tree that shows the logical sequence of the decision problem. Select the correct sketch of the decision tree based on the information above.

NotethatP(S)=probability of strong demand,P(W)=probability of weak demand. Also, we use the following notations:

P1=Payoff 1, P2=Payoff 2, P3=Payoff 3, P4=Payoff 4, P5=Payoff 5, P6=Payoff 6.

  • P(S)=0.64P(S)=0.64,P(W)=0P(W)=0, P1=10P1=10,P2=8P2=8,P3=15P3=15,P4=5P4=5,P5=25P5=25,P6=?10P6=-10
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\fP(S) Strong Payoff 1 High-Rise Condo P(W) Weak Payoff 2 P(S) Strong Payoff 3 O Mid-Rise Apartments P (W) Weak Payoff 4 P(S) Strong Payoff 5 Retirement Homes P (W) Weak Payoff 6High-Rise Condo High-Rise Condo Payoff 1 Payoff 4 P(S) P(W) Mid-Rise Apartments Strong Mid-Rise Apartments O O Weak O Payoff 2 Payoff 5 Retirement Homes Retirement Homes Payoff 3 Payoff 6P(S) Strong Payoff 1 High-Rise Condo O P(W) Weak Payoff 2 P(S) Strong Payoff 3 Mid-Rise Apartments O P(W) Weak Payoff 4 P(S) Strong Payoff 5 Retirement Homes O P (W) Weak Payoff 6Favorable Report P(Hire) In Favorable report Hire branch use EMV of the optimal decision Unfavorable Report alternative or include the whole decision tree O Favorable Report from the Simple Decision Tree part of P(Do not Hire) the solution. Do not hire Unfavorable ReportP(F)=P(Favorable Report) Favorable Report The probabilities P(F) Hire O and P(U) are calculated P(U)=P(Unfavorable Report) using the revised Unfavorable Report probability tables. Use EMV of the optimal decision Do not hire alternative or include the whole decision tree from the Simple Decision Tree part of the solution.P(F)=P(Favorable Report) Hire Favorable Report Do not hire High-Rise Condo P(U)=P(Unfavorable Report) Hire In Do not hire branch Unfavorable Report use EMV of the optimal Do not hire decision alternative or include the whole decision tree from the Hire Simple Decision Tree P(F)=P(Favorable Report) part of the solution. Favorable Report Do not hire Mid-Rise Apartments O P(U)=P(Unfavorable Report) Hire Unfavorable Report Do not hire P(F)=P(Favorable Report) Hire Favorable Report Retirement Homes O P(U)=P(Unfavorable Report) Hire Unfavorable ReportP(F)=P(Favorable Report) Favorable Report Hire O P(U)=P(Unfavorable Report) Unfavorable Report High-Rise Condo O Do not In Do not hire branch hire use EMV of the optimal decision alternative or P(F)=P(Favorable Report) include the whole Favorable Report decision tree from the Simple Decision Tree part of the solution. Hire O P(U)=P(Unfavorable Report) Unfavorable Report Mid-Rise Apartments O Do not hire P(F)=P(Favorable Report) Favorable Report Hire O P(U)=P(Unfavorable Report Unfavorable Report Retirement Homes Do not hire

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